glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

Global Score

76 vs 66

Hardware Fit

73 vs 91

Quality Score

77 vs 55

Hardware

glm-4.7-flash:bf16 qwen3.8-27b-mlx

MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro

CPUCortex-X925Apple M5 Max

Cores2018

RAM122 GB64 GB

GPUDevice 2e12Apple M5 Max

OSUbuntu 24.04.4 LTSmacOS 27.0

Archarm64arm64

Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 qwen3.8-27b-mlx

Tokens/sec25.833.2

First chunk605 ms7 ms

TTFT605 ms311 ms

Load time44.2 sN/A

Memory usage57.0 GB0.5 GB

Memory %47%1%

HW Fit Score Breakdown

glm-4.7-flash:bf16

Speed

27/50

TTFT

20/20

Memory

26/30

qwen3.8-27b-mlx

Speed

41/50

TTFT

20/20

Memory

30/30

Quality

glm-4.7-flash:bf16

Reasoning

13/20

Coding

17/20

Instruction

12/20

Structured

15/15

Math

10/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.8-27b-mlx

Reasoning

19/20

Coding

13/20

Instruction

6/20

Structured

0/15

Math

14/15

Multilingual

3/10

Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

View glm-4.7-flash:bf16 details | View qwen3.8-27b-mlx details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest